Founding Data Engineer

8 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Equity Only


About Us

AI-driven trading platform


founding technical team

The Role


Founding Data Pipeline Engineer


custom Python development


What You’ll Do

Data Pipeline Development:

  • Design and implement scalable ingestion pipelines to handle high-volume, real-time, and batch data feeds.
  • Write 

    custom Python code

     to run within Azure Function Apps for event-driven and scheduled ingestion tasks.
  • Integrate APIs, event streams, and unstructured data into unified pipelines.

Data Transformation & Storage:

  • Leverage 

    Azure Data Lake, Synapse Analytics, and Kusto (KQL)

     for efficient querying, storage, and OLAP-style analytics.
  • Ensure data quality, consistency, and schema evolution in a fast-changing environment.

Collaboration with AI/ML:

  • Enable backtesting and live trading workflows by delivering low-latency, reliable data pipelines.

Operations & Observability:

  • Establish monitoring, alerting, and logging for all pipelines to ensure reliability.
  • Design pipelines that can adapt to 

    scaling needs, failure recovery, and cost efficiency

     in the cloud.

Startup Contribution:

  • Take ownership of the 

    entire data lifecycle

    , from ingestion to OLAP.
  • Contribute to technical decisions and long-term architecture.
  • Operate in a 

    pre-funding, equity-only environment

     with full ownership of outcomes.


What We’re Looking For

  • 5–8 years of experience

     in 

    data engineering or pipeline development

    , with strong proficiency in 

    Python

    .
  • Hands-on experience building 

    serverless/cloud-native pipelines

     (Azure Functions, AWS Lambda, or similar).
  • Strong expertise with 

    Azure Data stack

     (Kusto/KQL, Synapse, Data Lake, Event Hubs, Data Factory).
  • Proven ability to design and manage 

    data ingestion, transformation, and storage pipelines

     at scale.
  • Solid understanding of 

    batch vs. streaming data processing

     and how to optimize for low-latency use cases.
  • Bonus: familiarity with 

    financial data structures or trading systems

     (but not required).
  • Entrepreneurial, self-starter mindset with the ability to 

    deliver hands-on solutions in an early-stage startup

    .
  • Bring your own device/laptop - but need to sign up for strict Confidentiality/NDA/Non-Compete Agreements


Why Join Us

  • Be a 

    founding technical member

    , building the 

    data backbone

     of a disruptive AI trading platform.
  • Collaborate closely with the 

    Founding Gen AI Engineer

     to power cutting-edge ML models with high-quality data.
  • Work with modern, 

    cloud-native, and serverless data pipelines

     in Azure.
  • Full 

    equity-based compensation

     at pre-angel stage – a high-risk, high-reward journey.
  • Shape the 

    core infrastructure

     of a company at the ground floor.

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